129 citations · 129 across the 2 of their papers we have counts for
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astro-ph.IM2025
Euclid: Detecting Solar System objects in Euclid images and classifying them using Kohonen self-organising maps
A. A. Nucita, L. Conversi, A. Verdier +141
The ESA Euclid mission will survey more than 14,000 deg of the sky in visible and near-infrared wavelengths, mapping the extra-galactic sky to constrain our cosmological model…
astro-ph.IM2024
Object classification with Convolutional Neural Networks: from KiDS to Euclid
G. A. Verdoes Kleijn, C. A. Marocico, Y. Mzayek +11
Large-scale imaging surveys have grown about 1000 times faster than the number of astronomers in the last 3 decades. Using Artificial Intelligence instead of astronomer's brains fo…